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Optimum-Path Forest based on k-connectivity: Theory and applications
(Elsevier B.V., 2017-02-01)
Graph-based pattern recognition techniques have been in the spotlight for many years, since there is a constant need for faster and more effective approaches. Among them, the Optimum-Path Forest (OPF) framework has gained ...
Link prediction in graph construction for supervised and semi-supervised learning
(International Neural Network Society – INNSIEEE Computational Intelligence SocietyKillarney, 2015-07)
Many real-world domains are relational in nature since they consist of a set of objects related to each other in complex ways. However, there are also flat data sets and if we want to apply graph-based algorithms, it is ...
Abordagem semi-supervisionada para detecção de módulos de software defeituosos
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Ciencia da Computacao, 2017)
Semi-supervised never-ending learning in rhetorical relation identification
(Bulgarian Academy of SciencesHissar, 2015-09)
Some languages do not have enough labeled data to obtain good discourse parsing, specially in the relation identification step, and the additional use of unlabeled data is a plausible solution. A workflow is presented that ...
Graph construction for semi-supervised learning
(Association for the Advancement of Artificial Intelligence - AAAIInternational Joint Conferences on Artificial Intelligence - IJCAISociedad Argentina de Informática e Investigación Operativa - SADIOUniversidad de Buenos Aires - UBAUniversidad Nacional del Sur - UNSMinisterio de Ciencia, Tecnología e Innovación ProductivaConsejo Nacional de Investigaciones Científicas y Técnicas – CONICETBuenos Aires, 2015-07)
Semi-Supervised Learning (SSL) techniques have become very relevant since they require a small set of labeled data. In this scenario, graph-based SSL algorithms provide a powerful framework for modeling manifold structures ...
Network construction and applications for semi-supervised learning
(Sociedade Brasileira de Computação - SBCUniversidade Federal de São Paulo - UNIFESPInstituto Nacional de Pesquisas Espaciais - INPESão José dos Campos, 2016-10)
The influence of network construction on graphbased semi-supervised learning (SSL) and their related applications have only received limited study despite its critical impact on accuracy. We introduce four variants for ...
Uma análise da influência do parâmetro de controle do limiar no método de aprendizado semissupervisionado FlexCon-C
(Universidade Federal do Rio Grande do NorteBrasilUFRNBacharelado de Sistemas de Informação, 2018-12-12)
Learning algorithms are effective and efficient tools for processing large volumes of data. However, real-world application databases are not fully labeled, this difficult the development of a model through traditional ...
Using the Web as corpus for self-training text categorization
(Springer Science+Business Media, 2009)
Using the Web as corpus for self-training text categorization
(Springer Science+Business Media, 2009)
Genome-wide pre-miRNA discovery from few labeled examples
(Oxford University Press, 2017-09)
MOTIVATION:Although many machine learning techniques have been proposed for distinguishing miRNA hairpins from other stem-loop sequences, most of the current methods use supervised learning, which requires a very good set ...